Bias refers to a systematic error or distortion in the measurement or interpretation of data that leads to an unfair or unbalanced representation. It can result from intentional manipulation, unconscious influence, or flawed methodology.
Imagine you have a group project and one team member always favors their own ideas without considering anyone else's input. This favoritism creates bias and makes it difficult for the group to make fair decisions.
Sampling Bias: When the sample used for data collection is not representative of the entire population, leading to skewed results.
Confirmation Bias: The tendency to seek out information that confirms preexisting beliefs while ignoring contradictory evidence.
Selection Bias: Occurs when specific types of individuals are more likely to be included in a study, which can distort findings.
What might cause a significant bias in measuring public opinion related to climate change policies?
Which kind of bias affects survey results due to respondents providing false answers because they feel it will be viewed more favorably?
What term describes the bias introduced into polling results by the nature of people who choose to respond?
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